Job description

- Understand transaction data and develop Analytics insights using Statistical models using SAS and/or - R

- Exploratory analysis and model building to develop predictive insights ( e.g.: multi-level Forecasting, time-series models, Exploratory Analytics, Web analytics, Digital Campaign Optimization, default scorecards, predictive failure models, Generalized linear models, logistics/linear Regression and logit/probit model etc)

- Communicate the understanding to Business audience Data analysis and model development for client and cross-industry solutions focused on analytics, statistics, correlation analysis and predictive modelling

- Working with extended teams on identifying industry and/or cross industry analytics approaches toward solution development, especially as "embedded analytics- within Business Process Services (BPS) clients

- End to end analytics solution responsibilities within the industry or analytics competency areas for development and into production (with the help of a Lead Analytics Architect and additional analytics engineers (developers):

- Initial solution definition

- Data identification, cleaning, completeness, initial analysis

- Correlation, statistics, variable/metric id and development

- Predictive toward prescriptive model development

- Analytics development lifecycle use - dev, test, prod

- Contribute to thought leadership and strategic internal initiatives

- Work across other Cognizant division technical resources on both pilots and production solutions both within BPS and across broader BI and analytics platforms

- Apprising the stakeholders about project(s) status on a regular basis.

Desired Skills and Experience

- Data understanding and analytics design work done experience across at least two industry areas- Technology, Retail, Contact Center, Digital Marketing, Marketing /Sales

- Prior experience in hands on development of analytical models, including data-driven metric, variable identification, creation and impact/priority development, as input to the model(s)

- Able to perform drill down analysis of key business problems, interpret results, generate insight and recommend strategies, into solution development completion

- MA/MSc. (Ops Research/Econometrics/Statistics), MBA (Finance/Systems) with 8+ years relevant work experience

- Strong to expert knowledge of SAS and/or R or similar industry tools - preferably multiple tool experience

- Effective analytical, oral and written communication and presentation skills, including in development of PowerPoint presentations

- Very good interpersonal skills and positive attitude

- Strong Articulation and communication- Interaction with operations, Business leaders and Customer organizations

- Independent and result-driven mindset

- Strong collaboration, organization and the ability to work well in teams are required

Preferred - Experience in working in Machine learning/Pattern recognition areas

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